摘要：
First, you will train your sparse autoencoder on an "unlabeled" training dataset of handwritten digits. This produces feature that are penstroke-like.... 阅读全文
摘要：
the promise of self-taught learning and unsupervised feature learning is that if we can get our algorithms to learn from unlabeled data, then we can e... 阅读全文
摘要：
Step 0: Initialize constants and parametersStep 1: Load dataStep 2: Implement softmaxCostImplementation Tip: Preventing overflows - in softmax regress... 阅读全文
摘要：
This model generalizes logistic regression to classification problems where the class label y can take on more than two possible values. Softmax regression is a supervised learning algorithm, but ... 阅读全文